Triple
T25210373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxfords |
E631668
|
entity |
| Predicate | hasLacingSystem |
P84048
|
FINISHED |
| Object | closed lacing |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: closed lacing | Statement: [Oxfords, hasLacingSystem, closed lacing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLacingSystem Context triple: [Oxfords, hasLacingSystem, closed lacing]
-
A.
hasLacing
chosen
Indicates a relationship where one entity is fastened, joined, or secured to another using laces or a lacing mechanism.
-
B.
hasTensioningSystem
Indicates that an object is equipped with a mechanism specifically designed to apply, adjust, or maintain tension in another component or system.
-
C.
hasLiningMaterial
Indicates that one entity uses or contains another entity as the material forming its inner lining.
-
D.
hasClasps
Indicates that one entity is equipped with or features clasps that fasten, secure, or attach it to another entity or its parts.
-
E.
hasFabric
Indicates that one entity is made of, incorporates, or is associated with a particular type of fabric.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e75a8d1aa48190a4320acd3654762c |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 21, 2026, 12:58 p.m.